At a Glance
- Tasks: Build and ship innovative AI features that solve real user problems.
- Company: Exciting stealth AI startup with a focus on next-gen technology.
- Benefits: Competitive salary, equity options, and fully remote work.
- Other info: Great opportunity for career growth in a dynamic, fast-paced environment.
- Why this job: Join a small team and shape the future of AI from the ground up.
- Qualifications: Experience in building production AI/ML applications and strong Python skills.
Location: Fully Remote (Europe)
Salary: £80,000 - £180,000 + Equity
The Role
I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine 0-1 opportunity to join a small, high-calibre engineering team and help shape both the product and technical direction from an early stage. They're hiring across multiple levels, from experienced AI Engineers through to Principal Engineers.
Key Responsibilities
- Build and ship AI features from concept through to production
- Design and improve agent workflows, prompts, memory and tool use
- Build reliable AI systems that solve real user problems
- Improve latency, reliability and overall production performance
- Develop evaluation frameworks to measure real-world model quality
- Work closely with Product and Engineering to turn ambiguous problems into working software
- Help shape technical direction as the product evolves
Key Requirements
- Commercial experience building production AI/ML applications
- Strong Python engineering skills
- Experience with modern LLMs and agentic...
Applied AI Engineer in London employer: McGregor Boyall Associates
As a Procurement Manager in Birmingham, you will thrive in a dynamic and supportive work culture that prioritises professional development and employee well-being. Our organisation offers competitive salaries, hybrid working options, and a commitment to fostering strong relationships both internally and externally, ensuring you have the resources and support needed to excel in your role. Join us to make a meaningful impact while enjoying opportunities for growth and innovation in a vibrant city.
Contact Details:
McGregor Boyall Associates Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like McGregor Boyall Associates.
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We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at McGregor Boyall Associates. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at McGregor Boyall Associates
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McGregor Boyall Associates!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
